[PlanetKR] Positions in AI at the Australian National University

[Sylvie]

Due to a number of requests, I have extended the deadline for the first 
position below to December 8, 2017 (Canberra time).


On 05/11/17 10:09, Sylvie wrote:
>
> Dear all,
>
> A number of research-intensive Lecturer / Research Fellow (postdoc) 
> positions are available in the ANU Planning and Optimisation Research 
> Group, to conduct research in Automated Planning and Scheduling and 
> related areas of Artificial Intelligence and Optimisation.  Salaries 
> are internationally competitive (around 100K AUD/year + 17% 
> superannuation), the ANU is ranked in the world's top 20 
> <https://www.topuniversities.com/university-rankings/world-university-rankings/2018> 
> universities, and Canberra has been named one of the cities with the 
> highest quality of life 
> <http://canberra.com.au/canberra-home-to-the-highest-quality-of-living-worldwide-according-to-numbeo-data/>and 
> one of the most enjoyable to visit. 
> <http://www.businessinsider.com/lonely-planet-best-cities-to-travel-to-in-2018-2017-10?IR=T/#3-canberra-australia-8> 
>
>
> The positions have been advertised in two separate announcements:
>
> *Position 1: (one or more 
> positions)****http://jobs.anu.edu.au/cw/en/job/518406/lecturer*
>
> contact Sylvie.Thiebaux at anu.edu.au 
> <mailto:Sylvie.Thiebaux at anu.edu.au>*<mailto:Sylvie.Thiebaux at anu.edu.au>*
>
> Applications close: 8 December 2018
>
> We are looking for PhD graduates with a track record in one or more of 
> the following:
>
>   * Probabilistic planning and scheduling
>   * On-line, dynamic  planning and scheduling
>   * Combining AI, OR, and ML approaches to planning and scheduling
>   * Hybrid (discrete/continuous) planning and scheduling
>   * Integrating verification, diagnosis, and learning with planning
>   * Planning and scheduling for autonomous robotics
>
> Successful candidates will conduct independent or project-based 
> research in those areas. Although their main time contribution will be 
> to research, they will also be expected to contribute at a reduced 
> intensity to the teaching activities of the school, and supervision of 
> students.
>
> Duration: up to 3 years
>
> *Position 2:****http://jobs.anu.edu.au/cw/en/job/518408/research-fellow*
>
> contact Patrik.Haslum at anu.edu.au <mailto:Patrik.Haslum at anu.edu.au>
>
> Applications close: 8 January 2018
>
> **
>
> We are seeking a research fellow to work on a project on use of 
> planning in networked system security. The project is a collaboration 
> between the ANU, CSIRO Data61 and the Australian Defence Science and 
> Technology Group. Its goal is to develop scalable approaches to 
> planning model construction and maintenance, as well as algorithmic 
> advances in planning under uncertainty and partial observability that 
> enable scaling to networks of practical size.
>
> We are looking for PhD graduates with a track record of research in 
> the field of AI planning, ideally with an emphasis on:
>
>   * Robust planning under uncertainty and partial observability
>   * Large-scale knowledge engineering for planning
>   * Experience in network security, pentesting or software system
>     vulnerability is also desirable but not essential
>
> Duration: 3 years (subject to successful regular project reviews), 
> with possibility of extension to a maximum of 5 years.
> -- 
>
> *Prof. Sylvie Thiebaux*
> College of Engineering and Computer Science
> The Australian National University
> T: +61 2 6125 8678
> E: Sylvie.Thiebaux at anu.edu.au <mailto:Sylvie.Thiebaux at anu.edu.au>
> W: http://users.cecs.anu.edu.au/~thiebaux/ 
> <http://users.cecs.anu.edu.au/%7Ethiebaux/>
>

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